Publication Date
In 2025 | 3 |
Since 2024 | 9 |
Since 2021 (last 5 years) | 40 |
Since 2016 (last 10 years) | 134 |
Since 2006 (last 20 years) | 353 |
Descriptor
Data Analysis | 500 |
Educational Improvement | 500 |
Data Collection | 155 |
Academic Achievement | 139 |
Educational Change | 124 |
Elementary Secondary Education | 115 |
Decision Making | 87 |
Foreign Countries | 75 |
School Districts | 73 |
Accountability | 68 |
Educational Policy | 66 |
More ▼ |
Source
Author
Publication Type
Education Level
Audience
Administrators | 38 |
Practitioners | 25 |
Teachers | 23 |
Policymakers | 15 |
Researchers | 9 |
Parents | 4 |
Support Staff | 4 |
Community | 2 |
Students | 2 |
Counselors | 1 |
Location
California | 21 |
Texas | 20 |
Australia | 13 |
Florida | 13 |
Pennsylvania | 12 |
New York | 11 |
North Carolina | 11 |
United States | 11 |
Illinois | 10 |
Massachusetts | 10 |
United Kingdom (England) | 9 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards with or without Reservations | 1 |
Brannegan, Andrew; Takahashi, Sola – Learning Professional, 2023
Educators have long been awash in a sea of standardized test score data, with the understanding that their engagement with these data will lead to improvement in teaching and learning. But, in practice, these data have often been too infrequent, too lagging, and too distant from day-to-day practice to inform actionable next steps. To improve…
Descriptors: Standardized Tests, Data Use, Educational Improvement, Data Analysis
Pongchanun Luangpaiboon; Chiramet Phinkrathok; Walailak Atthirawong; Pasura Aungkulanon – SAGE Open, 2024
The education faculty aims to assess departmental effectiveness by analyzing the relationship between service levels, output variables, and input variables. This objective is coupled with the formulation of faculty development strategies tailored to enhance efficiency while accommodating individual professionals' unique requirements and…
Descriptors: Decision Making, College Faculty, Simulation, Efficiency
Adolfsson, Carl-Henrik; Håkansson, Jan – Leadership and Policy in Schools, 2023
From a new institutional theoretical perspective, this article explores school actors' sense-making linked to data-based decision making (DBDM) policy in general and processes of data analysis in particular. The study revealed how actors' interpretation of and response to DBDM pointed to strong and weak couplings between and within the local…
Descriptors: Data Analysis, Educational Improvement, Decision Making, Data Interpretation
Hilliger, Isabel; Aguirre, Camila; Miranda, Constanza; Celis, Sergio; Pérez-Sanagustín, Mar – Journal of Computing in Higher Education, 2022
Curriculum Analytics (CA) emerged as a sub-field of Learning Analytics, aiming to use large amounts of educational data to drive curriculum decision-making and program improvement. However, it is still an open question how the use of CA tools impacts student learning and program quality. To advance this field, this paper describes the lessons…
Descriptors: Curriculum Design, Data Analysis, Educational Improvement, Foreign Countries
Victoria L. Bernhardt – Eye on Education, 2025
With the 5th Edition of Data Analysis for Continuous School Improvement, best-selling Victoria Bernhardt has written the go-to-resource for data analysis in your school! By incorporating collaborative structures to implement, monitor, and evaluate the vision and continuous improvement plan, this book provides a framework to show learning…
Descriptors: Learning Analytics, Data Analysis, Educational Improvement, Evaluation Methods
Buckner, Elizabeth; Shephard, Daniel; Smiley, Anne – Journal on Education in Emergencies, 2022
Recognizing the lack of knowledge about how to improve data systems for education in emergencies (EiE), we examine in this article how EiE professionals use data and what makes data "useful" to them. Drawing from 48 semistructured interviews from a purposive sample of professionals working in the EiE field across the humanitarian,…
Descriptors: Data Use, Emergency Programs, Professional Personnel, Attitudes
Yu-Jie Wang; Chang-Lei Gao; Xin-Dong Ye – Education and Information Technologies, 2024
The continuous development of Educational Data Mining (EDM) and Learning Analytics (LA) technologies has provided more effective technical support for accurate early warning and interventions for student academic performance. However, the existing body of research on EDM and LA needs more empirical studies that provide feedback interventions, and…
Descriptors: Precision Teaching, Data Use, Intervention, Educational Improvement
John Jerrim; Alex Jones – School Effectiveness and School Improvement, 2024
School inspections are a common feature of many education systems. These may be informed by quantitative background data about schools. It is recognised that there are pros and cons of using such quantitative information as part of the inspection process, though these have rarely been succinctly set out. This paper seeks to fill this gap by…
Descriptors: Inspection, Foreign Countries, Statistical Analysis, Educational Quality
Schildkamp, Kim; Datnow, Amanda – Leadership and Policy in Schools, 2022
Because learning from failures is just as important as learning from successes, we used qualitative case study data gathered in the Netherlands and the United States to examine instances in which data teams struggle to contribute to school improvement. Similar factors in both the Dutch and U.S. case hindered the work of the data teams, such as…
Descriptors: Foreign Countries, Educational Improvement, Data Use, Failure
Morris, Kelsey; Lewis, Timothy; Mitchell, Barb – Center on Positive Behavioral Interventions and Supports, 2022
This brief provides district PBIS [positive behavioral interventions and supports] leadership teams a framework to examine school-level fidelity and self-assessment data to guide resource, professional development, and technical assistance decision making.
Descriptors: School Districts, Data Use, Data Analysis, Fidelity
Courtney, Matthew B. – International Journal of Education Policy and Leadership, 2021
Exploratory data analysis (EDA) is an iterative, open-ended data analysis procedure that allows practitioners to examine data without pre-conceived notions to advise improvement processes and make informed decisions. Education is a data-rich field that is primed for a transition into a deeper, more purposeful use of data. This article introduces…
Descriptors: Data Analysis, Data Use, Decision Making, Educational Improvement
Williams, Michelle J. – ProQuest LLC, 2022
Understanding professional development is a key component in ensuring school improvement. This study examines the professional development experiences of 16 school leaders and staff members in the Northeast Region of the United States. This qualitative grounded theory study investigates the type of professional development experiences that result…
Descriptors: Faculty Development, Educational Improvement, Teaching Methods, Educational Practices
Wendy Kemling-Horner – ProQuest LLC, 2021
School climate is the perceptions and attitudes that are evoked by a school's environment and affects every aspect of the school surroundings. Therefore, it is essential that principals have the resources they need to positively affect the climate in their buildings. In fact, a positive school climate has been linked to not only the achievement of…
Descriptors: Educational Environment, Teacher Surveys, Administrator Surveys, Data Analysis
Hongyu Liu; Young Chun Ko – International Journal of Web-Based Learning and Teaching Technologies, 2024
With the development of the information age, the quality of physical education teaching in universities has become an important goal of teaching reform. Improving the quality of physical education and significantly improving students' physical fitness is one of the development goals of higher education. Therefore, this article proposes an…
Descriptors: Physical Education, Higher Education, Educational Quality, Educational Improvement
Yurkofsky, Maxwell – Educational Administration Quarterly, 2022
Purpose: A recurring frustration in educational research is the tendency for school leaders to implement reforms in ways that prioritize compliance over more substantive improvements to practice. Drawing on new institutional theory and sensemaking theory, this article explores the different ways leaders respond to continuous improvement (CI)…
Descriptors: Leadership, Educational Change, Educational Improvement, Educational Needs